Electronic Spectra of Iron-Sulfur Complexes Measured by 2p3d RIXS Spectroscopy
Benjamin E Van Kuiken1, Anselm W Hahn1, Brahamjot Nayyar2
1Max Planck Institute for Chemical Energy Conversion , Stiftstr. 34-36 , 45470 Mülheim an der Ruhr , Germany.
Inorganic Chemistry
|May 31, 2018
Summary
Iron-sulfur (FeS) proteins
Area of Science:
- Bioinorganic chemistry
- Spectroscopy
- Computational chemistry
Background:
- Iron-sulfur (FeS) proteins are crucial for biological electron transfer and catalysis.
- Understanding their electronic properties, particularly low-energy d-d excited states, is key to deciphering their function.
- Traditional optical spectroscopies have limitations in characterizing these complex electronic transitions.
Purpose of the Study:
- To demonstrate the utility of iron L-edge 2p3d resonant inelastic X-ray scattering (RIXS) for characterizing d-d excited states in FeS complexes.
- To investigate the electronic structure of monomeric, dimeric, and tetrameric FeS model complexes.
- To compare RIXS findings with theoretical predictions.
Main Methods:
- Utilized iron L-edge 2p3d resonant inelastic X-ray scattering (RIXS) spectroscopy.
- Studied a series of monomeric, dimeric [2Fe-2S], and tetrameric [MFe3S4]2+ (M = V, Mo) FeS model complexes.
- Analyzed low-energy electronic excitations (0–10,000 cm−1) and spin-flip transitions.
Main Results:
- RIXS successfully measured d-d excitation spectra across various FeS complexes.
- Revealed a dense manifold of low-lying d-d excited states in dimeric and tetrameric FeS complexes.
- Observed spectral features attributed to covalency and exchange coupling effects.
- Demonstrated RIXS's capability to detect low-energy and spin-flip transitions inaccessible to optical methods.
Conclusions:
- Iron L-edge 2p3d RIXS is a powerful technique for probing the electronic structure of FeS complexes.
- The electronic structure of FeS clusters is more complex than predicted by simplified models, with a greater number of low-lying excited states.
- RIXS results align with and support advanced ab initio theoretical predictions.
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